"""
服务封装器
将现有服务封装为统一接口，供自然语言服务协调器调用
"""

from typing import Dict, Any, Optional
import asyncio
import time
from contextlib import contextmanager


# 使用依赖注入容器减少循环导入
def get_auth_service():
    try:
        from src.containers import container
        return container.auth_service()
    except Exception:
        return None

def get_research_service():
    try:
        from src.containers import container
        return container.research_service()
    except Exception:
        return None

def get_ticket_service():
    try:
        from src.containers import container
        return container.ticket_service()
    except Exception:
        return None

def get_knowledge_graph_service():
    try:
        from src.containers import container
        return container.knowledge_graph_service()
    except Exception:
        return None

def get_group_service():
    try:
        from src.containers import container
        return container.group_service()
    except Exception:
        return None

def get_database_metadata_service():
    try:
        from src.containers import container
        return container.database_metadata_service()
    except Exception:
        return None

def get_generic_query_service():
    try:
        from src.containers import container
        return container.generic_query_service()
    except Exception:
        return None

def get_session_service():
    try:
        from src.containers import container
        return container.session_service()
    except Exception:
        return None

def get_scheduler_service():
    try:
        from src.containers import container
        return container.scheduler_service()
    except Exception:
        return None

def get_feishu_service():
    try:
        from src.containers import container
        return container.feishu_service()
    except Exception:
        return None

def get_notification_service():
    try:
        from src.containers import container
        return container.notification_service()
    except Exception:
        return None

def get_websocket_service():
    try:
        from src.containers import container
        return container.websocket_service()
    except Exception:
        return None

def get_cache_service():
    try:
        from src.containers import container
        return container.cache_service()
    except Exception:
        return None

def get_query_cache_service():
    try:
        from src.containers import container
        return container.query_cache_service()
    except Exception:
        return None

def get_monitoring_service():
    try:
        from src.containers import container
        return container.monitoring_service()
    except Exception:
        return None

# 数据库会话管理工具函数
@contextmanager
def get_db_session():
    """提供一个统一的数据库会话管理方法"""
    db = None
    db_generator = None
    try:
        from src.containers import container
        db_factory = container.db_session()
        
        # 确保我们得到一个可调用的数据库工厂方法
        if not callable(db_factory):
            # 如果直接返回了会话，直接使用它
            db = db_factory
        else:
            # 使用工厂方法创建新的会话
            db = db_factory()
        
        yield db
        db_generator = db  # 保存引用用于清理
    except Exception as e:
        # 如果通过容器获取失败，尝试直接创建
        try:
            from src.containers import get_db
            db = get_db()
            yield db
            db_generator = db  # 保存引用用于清理
        except Exception:
            # 如果所有方法都失败，重新抛出原始异常
            raise e
    finally:
        # 使用db_generator而不是db进行清理，避免使用上下文管理器对象
        db_to_close = db_generator if db_generator is not None else db
        # 确保db_to_close不是生成器或上下文管理器
        if db_to_close and not str(type(db_to_close)).find('generator') >= 0:
            # 统一处理会话的清理
            # 检查是否有事务相关的方法
            try:
                # 尝试检查是否有未提交的事务
                # 使用getattr安全地获取方法，避免直接访问导致的类型检查错误
                rollback_method = getattr(db_to_close, 'rollback', None)
                if callable(rollback_method):
                    in_transaction_method = getattr(db_to_close, 'in_transaction', None)
                    if callable(in_transaction_method):
                        try:
                            if in_transaction_method():
                                rollback_method()
                        except Exception:
                            # 如果调用in_transaction失败，安全地尝试回滚
                            try:
                                rollback_method()
                            except Exception:
                                pass  # 回滚失败可以忽略
                    else:
                        # 如果没有in_transaction方法，安全地尝试回滚
                        try:
                            rollback_method()
                        except Exception:
                            pass  # 回滚失败可以忽略
            except Exception:
                pass  # 事务检查失败可以忽略
            
            # 尝试关闭会话
            try:
                close_method = getattr(db_to_close, 'close', None)
                if callable(close_method):
                    try:
                        close_method()
                    except Exception:
                        pass  # 关闭失败可以忽略
            except Exception:
                pass  # 关闭检查失败可以忽略
            
            # 尝试处置会话
            try:
                dispose_method = getattr(db_to_close, 'dispose', None)
                if callable(dispose_method):
                    try:
                        dispose_method()
                    except Exception:
                        pass  # 处置失败可以忽略
            except Exception:
                pass  # 处置检查失败可以忽略

# 服务封装函数
def get_user_info(**parameters) -> Dict[str, Any]:
    """获取用户信息"""
    try:
        # 直接使用认证服务中已有的get_user_info函数
        from src.services.auth_service import get_user_info as auth_get_user_info
        user_id = parameters.get("user_id")
        if not user_id:
            return {"error": "缺少用户ID参数"}
        return auth_get_user_info(user_id)
    except Exception as e:
        return {"error": f"获取用户信息失败: {str(e)}"}

async def execute_research_async(**parameters) -> Dict[str, Any]:
    """异步执行研究任务"""
    try:
        research_service = get_research_service()
        if not research_service:
            return {"error": "研究服务不可用"}
        
        # 实例化ResearchService类
        if hasattr(research_service, '__call__'):
            # 如果research_service是一个可调用对象（如lambda），则调用它来获取实例
            research_service_instance = research_service()
        else:
            # 否则直接使用research_service
            research_service_instance = research_service
            
        question = parameters.get("question")
        if not question:
            return {"error": "缺少研究问题参数"}
        
        # 使用asyncio.wait_for添加超时控制
        try:
            # 直接调用异步方法而不是在线程池中运行同步方法
            result = await research_service_instance.execute_research(question=question)
            return {"result": result}
        except asyncio.TimeoutError:
            return {"error": "研究任务执行超时（超过1800秒）"}
    except Exception as e:
        return {"error": f"执行研究任务失败: {str(e)}"}

def register_all_services():
    """注册所有可用服务到注册表"""
    import logging
    logger = logging.getLogger(__name__)
    logger.info("开始注册服务...")
    
    from src.services.service_registry import service_registry
    from src.services.ticket_service import create_ticket
    # 使用service_wrappers中的get_user_info包装函数来注册用户管理服务
    try:
        # 直接使用当前模块中的get_user_info函数
        logger.info("准备注册user_management服务")
        
        if not service_registry.service_exists("user_management"):
            service_registry.register_service(
                name="user_management",
                service_func=get_user_info,  # 使用当前模块中的包装函数
                description="用户认证和管理服务，包括用户信息查询、登录验证等功能",
                parameters={"user_id": "用户ID或用户名"},
                keywords=["用户", "登录", "认证", "管理", "信息"],
                version="1.0.0"
            )
            logger.info("user_management服务注册成功")
        else:
            logger.info("user_management服务已存在")
    except Exception as e:
        logger.error(f"注册user_management服务失败: {str(e)}")
    
    # 注册研究服务
    if not service_registry.service_exists("research_assistant"):
        service_registry.register_service(
            name="research_assistant",
            service_func=execute_research,
            description="智能研究助理服务，可以回答各种问题并提供深度分析",
            parameters={
                "question": "研究问题",
                "user_id": "可选，用户ID",
                "workflow_type": "可选，工作流类型",
                "context": "可选，上下文信息"
            },
            keywords=["研究", "分析", "问答", "智能", "搜索"],
            version="1.0.0"
        )
    
    # 注册票务服务
    if not service_registry.service_exists("ticket_system"):
        service_registry.register_service(
            name="ticket_system",
            service_func=create_ticket,
            description="票务管理系统，处理工单创建、查询、更新和状态管理",
            parameters={"title": "工单标题", "description": "工单详细描述", "priority": "优先级"},
            keywords=["工单", "票务", "支持", "问题", "故障", "帮助"],
            version="1.0.0"
        )
    
    # 注册知识图谱服务
    if not service_registry.service_exists("knowledge_graph"):
        def query_knowledge_graph_wrapper(**parameters):
            """知识图谱查询包装函数"""
            try:
                from src.tools.knowledge_graph_tool import query_knowledge_graph
                query = parameters.get("query", "")
                return query_knowledge_graph(query)
            except Exception as e:
                return {"error": f"知识图谱查询失败: {str(e)}"}
                
        service_registry.register_service(
            name="knowledge_graph",
            service_func=query_knowledge_graph_wrapper,
            description="知识图谱查询服务，检索和分析知识图谱中的实体、关系和模式",
            parameters={"query": "查询内容", "limit": "结果限制数量"},
            keywords=["知识图谱", "图谱", "实体", "关系", "知识", "查询"],
            version="1.0.0"
        )
    
    # 注册用户组服务
    if not service_registry.service_exists("group_management"):
        def get_group_info(**parameters):
            """获取组信息的包装函数"""
            try:
                from src.containers import container
                from src.services.group_service import GroupService
                
                group_service: GroupService = container.group_service()
                if not group_service:
                    return {"error": "组服务不可用"}
                
                group_id = parameters.get("group_id")
                if not group_id:
                    return {"error": "缺少组ID参数"}
                
                # 使用统一的数据库会话管理
                try:
                    db_session = None
                    db = None
                    try:
                        from src.containers import container
                        db_session = container.db_session()
                        # 处理不同类型的db_session
                        if callable(db_session):
                            db = db_session()
                        else:
                            db = db_session
                    
                        # 获取组信息，尝试不同的方法
                        group = None
                        if isinstance(group_id, int) or (isinstance(group_id, str) and group_id.isdigit()):
                            # 按ID查找
                            group_id_int = int(group_id) if isinstance(group_id, str) else group_id
                            try:
                                # 将int类型转换为UUID类型
                                import uuid
                                group_uuid = uuid.UUID(int=group_id_int) if isinstance(group_id_int, int) else group_id_int
                                group = group_service.get_group(db, group_uuid)
                            except (AttributeError, ValueError):
                                # 如果方法不存在或UUID转换失败，尝试其他方法
                                from src.models.group import Group
                                if hasattr(db, 'query'):
                                    group = db.query(Group).filter(Group.id == group_id_int).first()
                                else:
                                    return {"error": "数据库会话不支持查询操作"}
                        else:
                            # 按名称查找，GroupService中没有此方法，直接查询数据库
                            try:
                                from src.models.group import Group
                                if hasattr(db, 'query'):
                                    group = db.query(Group).filter(Group.name == group_id).first()
                                else:
                                    return {"error": "数据库会话不支持查询操作"}
                            except Exception:
                                # 如果所有方法都失败，返回错误
                                return {"error": "组服务不支持按名称查询"}
                        
                        if not group:
                            # 确保关闭数据库会话
                            if db and hasattr(db, 'close'):
                                try:
                                    db.close()
                                except Exception:
                                    pass
                            return {"error": "组未找到"}
                        
                        # 获取组成员信息
                        members = []
                        try:
                            # 确保group.id是UUID类型
                            import uuid
                            group_id_uuid = group.id if isinstance(group.id, uuid.UUID) else uuid.UUID(str(group.id))
                            members = group_service.get_group_members(db, group_id_uuid)
                        except (AttributeError, ValueError):
                            # 如果get_group_members方法不存在或group.id不是有效UUID，尝试直接查询
                            try:
                                from src.models.group import UserGroup
                                if hasattr(db, 'query'):
                                    members = db.query(UserGroup).filter(UserGroup.group_id == group.id).all()
                            except Exception:
                                # 如果还是失败，返回空列表
                                members = []
                        
                        # 确保关闭数据库会话
                        if db and hasattr(db, 'close'):
                            try:
                                db.close()
                            except Exception:
                                pass
                        
                        # 安全地处理created_at字段
                        created_at = None
                        if hasattr(group, 'created_at') and group.created_at is not None:
                            try:
                                # 检查created_at是否为Column对象
                                if hasattr(group.created_at, 'isoformat'):
                                    created_at = group.created_at.isoformat()
                                else:
                                    created_at = str(group.created_at)
                            except Exception:
                                created_at = str(group.created_at)
                        
                        member_list = []
                        if members:
                            for member in members:
                                if hasattr(member, 'user_id') and hasattr(member, 'role'):
                                    member_list.append({
                                        "user_id": str(member.user_id),
                                        "role": str(member.role),
                                    })
                        
                        return {
                            "id": str(group.id),
                            "name": getattr(group, 'name', 'Unknown'),
                            "description": getattr(group, 'description', ''),
                            "member_count": len(member_list),
                            "created_at": created_at,
                            "members": member_list
                        }
                    except Exception as db_e:
                        # 确保关闭数据库会话
                        if db and hasattr(db, 'close'):
                            try:
                                db.close()
                            except Exception:
                                pass
                        return {"error": f"数据库操作失败: {str(db_e)}"}
                except Exception as session_e:
                    return {"error": f"数据库会话失败: {str(session_e)}"}
            except Exception as e:
                return {"error": f"获取组信息失败: {str(e)}"}
        
        service_registry.register_service(
            name="group_management",
            service_func=get_group_info,
            description="用户组管理服务，处理用户组的创建、成员管理和权限设置",
            parameters={"group_id": "组ID或组名称"},
            keywords=["组", "群组", "团队", "成员", "权限", "管理"],
            version="1.0.0"
        )

def execute_research(**parameters) -> Dict[str, Any]:
    """执行研究任务"""
    try:
        research_service = get_research_service()
        if not research_service:
            return {"error": "研究服务不可用"}
        
        # 实例化ResearchService类
        if hasattr(research_service, '__call__'):
            # 如果research_service是一个可调用对象（如lambda），则调用它来获取实例
            research_service_instance = research_service()
        else:
            # 否则直接使用research_service
            research_service_instance = research_service
            
        question = parameters.get("question")
        if not question:
            return {"error": "缺少研究问题参数"}
        
        # 设置默认超时时间
        timeout = 300  # 5分钟超时
        
        # 添加超时控制
        start_time = time.time()
        try:
            import asyncio
            import inspect
            
            # 检查execute_research是否是协程函数
            if inspect.iscoroutinefunction(research_service_instance.execute_research):
                # 如果是协程函数，我们需要在事件循环中运行它
                try:
                    # 尝试获取当前事件循环
                    loop = asyncio.get_event_loop()
                except RuntimeError:
                    # 如果没有事件循环，创建一个新的
                    loop = asyncio.new_event_loop()
                    asyncio.set_event_loop(loop)
                
                # 在事件循环中运行协程
                coro = research_service_instance.execute_research(question=question)
                try:
                    result = asyncio.run_coroutine_threadsafe(coro, loop).result(timeout=timeout)
                    execution_time = time.time() - start_time
                    
                    # 如果执行时间超过阈值，记录警告
                    if execution_time > 30:  # 降低警告阈值到30秒
                        print(f"警告: 研究任务执行时间较长 ({execution_time:.2f}秒)")
                    
                    return {"result": result, "execution_time": execution_time}
                except asyncio.TimeoutError:
                    execution_time = time.time() - start_time
                    return {"error": f"研究任务执行超时（{execution_time:.2f}秒），请尝试简化查询或稍后重试"}
            else:
                # 如果不是协程函数，直接执行
                import concurrent.futures
                with concurrent.futures.ThreadPoolExecutor() as executor:
                    future = executor.submit(research_service_instance.execute_research, question=question)
                    try:
                        result = future.result(timeout=timeout)
                        execution_time = time.time() - start_time
                        
                        # 如果执行时间超过阈值，记录警告
                        if execution_time > 30:  # 降低警告阈值到30秒
                            print(f"警告: 研究任务执行时间较长 ({execution_time:.2f}秒)")
                        
                        return {"result": result, "execution_time": execution_time}
                    except concurrent.futures.TimeoutError:
                        # 取消任务
                        future.cancel()
                        execution_time = time.time() - start_time
                        return {"error": f"研究任务执行超时（{execution_time:.2f}秒），请尝试简化查询或稍后重试"}
        except Exception as e:
            execution_time = time.time() - start_time
            if execution_time > timeout * 0.8:  # 如果执行时间接近超时
                return {"error": f"研究任务执行超时: {str(e)}"}
            return {"error": f"执行研究任务失败: {str(e)}"}
    except Exception as e:
        return {"error": f"执行研究任务失败: {str(e)}"}

def create_ticket(**parameters) -> Dict[str, Any]:
    """创建工单"""
    try:
        ticket_service = get_ticket_service()
        if not ticket_service:
            return {"error": "工单服务不可用"}
        
        title = parameters.get("title")
        description = parameters.get("description")
        priority = parameters.get("priority", "medium")
        
        if not title or not description:
            return {"error": "标题和描述是必填项"}
        
        # 获取数据库会话
        db_session = None
        db = None
        try:
            from src.containers import container
            db_session = container.db_session()
            # 处理不同类型的db_session
            if callable(db_session):
                db = db_session()
            else:
                db = db_session
            
            # 创建工单数据
            from src.models.ticket import TicketCreate, TicketPriority
            try:
                ticket_priority = TicketPriority(priority.lower())
            except ValueError:
                ticket_priority = TicketPriority.MEDIUM
            
            ticket_data = TicketCreate(
                title=title,
                description=description,
                priority=ticket_priority
            )
            
            # 如果在数据库会话中出现异常，尝试直接调用服务
            # 尝试不同的备选方法
            if hasattr(ticket_service, 'create_ticket'):
                # 使用默认用户或系统用户
                from src.models.user import User
                # 创建一个临时的系统用户对象用于测试
                system_user = User(
                    username="system",
                    email="system@example.com"
                )
                
                ticket = ticket_service.create_ticket(
                    db,
                    ticket_data,
                    system_user
                )
                
                # 确保关闭数据库会话
                if db and hasattr(db, 'close'):
                    try:
                        db.close()
                    except Exception:
                        pass
                
                return {
                    "id": str(ticket.id),
                    "title": ticket.title,
                    "status": ticket.status,
                    "created_at": ticket.created_at.isoformat() if ticket.created_at is not None else None
                }
            else:
                # 如果所有方法都不存在，返回错误
                # 确保关闭数据库会话
                if db and hasattr(db, 'close'):
                    try:
                        db.close()
                    except Exception:
                        pass
                return {"error": "创建工单失败: 未找到支持的方法"}
        except AttributeError as attr_e:
            # 确保关闭数据库会话
            if db and hasattr(db, 'close'):
                try:
                    db.close()
                except Exception:
                    pass
            return {"error": f"创建工单失败，方法不存在: {str(attr_e)}"}
        except Exception as method_e:
            # 确保关闭数据库会话
            if db and hasattr(db, 'close'):
                try:
                    db.close()
                except Exception:
                    pass
            return {"error": f"创建工单失败: {str(method_e)}"}
    except Exception as e:
        return {"error": f"创建工单失败: {str(e)}"}
    
    # 默认返回值，确保所有代码路径都有返回值
    return {"error": "创建工单失败: 未知错误"}

def query_knowledge_graph(**parameters) -> Dict[str, Any]:
    """查询知识图谱"""
    try:
        knowledge_graph_service = get_knowledge_graph_service()
        if not knowledge_graph_service:
            return {"error": "知识图谱服务不可用"}
        
        query = parameters.get("query")
        entity_type = parameters.get("entity_type")
        
        if not query:
            return {"error": "查询内容是必填项"}
        
        # 这里应该实现实际的知识图谱查询逻辑
        # 目前返回模拟结果
        return {
            "query": query,
            "entity_type": entity_type,
            "results": [
                {
                    "entity": "示例实体",
                    "type": "示例类型",
                    "properties": {"key": "value"},
                    "relations": []
                }
            ]
        }
    except Exception as e:
        return {"error": f"查询知识图谱失败: {str(e)}"}

def get_group_info(**parameters) -> Dict[str, Any]:
    """获取组信息"""
    try:
        group_service = get_group_service()
        if not group_service:
            return {"error": "组服务不可用"}
        
        group_id = parameters.get("group_id")
        if not group_id:
            return {"error": "组ID是必填项"}
        
        # 获取数据库会话
        try:
            db_session = None
            db = None
            try:
                from src.containers import container
                db_session = container.db_session()
                # 处理不同类型的db_session
                if callable(db_session):
                    db = db_session()
                else:
                    db = db_session
                
                # 获取组信息，尝试不同的方法
                group = None
                if isinstance(group_id, int) or (isinstance(group_id, str) and group_id.isdigit()):
                    # 按ID查找
                    group_id_int = int(group_id) if isinstance(group_id, str) else group_id
                    try:
                        # 将int类型转换为UUID类型
                        import uuid
                        group_uuid = uuid.UUID(int=group_id_int) if isinstance(group_id_int, int) else group_id_int
                        group = group_service.get_group(db, group_uuid)
                    except (AttributeError, ValueError):
                        # 如果方法不存在或UUID转换失败，尝试其他方法
                        from src.models.group import Group
                        if hasattr(db, 'query'):
                            group = db.query(Group).filter(Group.id == group_id_int).first()
                        else:
                            return {"error": "数据库会话不支持查询操作"}
                else:
                    # 按名称查找，GroupService中没有此方法，直接查询数据库
                    try:
                        from src.models.group import Group
                        if hasattr(db, 'query'):
                            group = db.query(Group).filter(Group.name == group_id).first()
                        else:
                            return {"error": "数据库会话不支持查询操作"}
                    except Exception:
                        # 如果所有方法都失败，返回错误
                        return {"error": "组服务不支持按名称查询"}
                
                if not group:
                    # 确保关闭数据库会话
                    if db and hasattr(db, 'close'):
                        try:
                            db.close()
                        except Exception:
                            pass
                    return {"error": "组未找到"}
                
                # 获取组成员信息
                members = []
                try:
                    # 确保group.id是UUID类型
                    import uuid
                    group_id_uuid = group.id if isinstance(group.id, uuid.UUID) else uuid.UUID(str(group.id))
                    members = group_service.get_group_members(db, group_id_uuid)
                except (AttributeError, ValueError):
                    # 如果get_group_members方法不存在或group.id不是有效UUID，尝试直接查询
                    try:
                        from src.models.group import UserGroup
                        if hasattr(db, 'query'):
                            members = db.query(UserGroup).filter(UserGroup.group_id == group.id).all()
                    except Exception:
                        # 如果还是失败，返回空列表
                        members = []
                
                # 确保关闭数据库会话
                if db and hasattr(db, 'close'):
                    try:
                        db.close()
                    except Exception:
                        pass
                
                # 安全地处理created_at字段
                created_at = None
                if hasattr(group, 'created_at') and group.created_at is not None:
                    try:
                        # 检查created_at是否为Column对象
                        if hasattr(group.created_at, 'isoformat'):
                            created_at = group.created_at.isoformat()
                        else:
                            created_at = str(group.created_at)
                    except Exception:
                        created_at = str(group.created_at)
                
                member_list = []
                if members:
                    for member in members:
                        if hasattr(member, 'user_id') and hasattr(member, 'role'):
                            member_list.append({
                                "user_id": str(member.user_id),
                                "role": str(member.role),
                            })
                
                return {
                    "id": str(group.id),
                    "name": getattr(group, 'name', 'Unknown'),
                    "description": getattr(group, 'description', ''),
                    "member_count": len(member_list),
                    "created_at": created_at,
                    "members": member_list
                }
            except Exception as db_e:
                # 确保关闭数据库会话
                if db and hasattr(db, 'close'):
                    try:
                        db.close()
                    except Exception:
                        pass
                return {"error": f"数据库操作失败: {str(db_e)}"}
        except Exception as session_e:
            return {"error": f"数据库会话失败: {str(session_e)}"}
    except Exception as e:
        return {"error": f"获取组信息失败: {str(e)}"}

    # 注册强化学习服务
    try:
        from src.services.reinforcement_learning_service import get_reinforcement_learning_service
        if not service_registry.service_exists("reinforcement_learning"):
            service_registry.register_service(
                name="reinforcement_learning",
                service_func=get_reinforcement_learning_service,
                description="强化学习服务，提供智能决策和优化建议",
                parameters={"state": "当前状态", "action_space": "动作空间", "reward": "奖励值"},
                keywords=["强化学习", "决策", "优化", "智能", "AI"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("强化学习服务不可用")
    
    # 注册自然语言处理服务
    try:
        from src.services.nlp_service import process_nlp_query
        if not service_registry.service_exists("nlp_service"):
            service_registry.register_service(
                name="nlp_service",
                service_func=process_nlp_query,
                description="自然语言处理服务，提供文本分析、情感分析、实体提取等功能",
                parameters={"text": "输入文本", "task": "处理任务", "language": "语言"},
                keywords=["NLP", "文本分析", "情感分析", "实体提取", "语言处理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("自然语言处理服务不可用")
    
    # 注册文件处理服务
    try:
        from src.services.file_processing_service import process_file
        if not service_registry.service_exists("file_processing"):
            service_registry.register_service(
                name="file_processing",
                service_func=process_file,
                description="文件处理服务，支持多种文件格式的解析和处理",
                parameters={"file_path": "文件路径", "file_type": "文件类型", "processing_options": "处理选项"},
                keywords=["文件", "处理", "解析", "转换", "文档"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("文件处理服务不可用")
    
    # 注册图像处理服务
    try:
        from src.services.image_processing_service import process_image
        if not service_registry.service_exists("image_processing"):
            service_registry.register_service(
                name="image_processing",
                service_func=process_image,
                description="图像处理服务，提供图像识别、分析和处理功能",
                parameters={"image_path": "图像路径", "operations": "处理操作", "options": "处理选项"},
                keywords=["图像", "图片", "识别", "分析", "处理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("图像处理服务不可用")
    
    # 注册语音处理服务
    try:
        from src.services.voice_processing_service import process_voice
        if not service_registry.service_exists("voice_processing"):
            service_registry.register_service(
                name="voice_processing",
                service_func=process_voice,
                description="语音处理服务，提供语音识别、合成和分析功能",
                parameters={"audio_path": "音频路径", "task": "处理任务", "language": "语言"},
                keywords=["语音", "音频", "识别", "合成", "处理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("语音处理服务不可用")
    
    # 注册推荐系统服务
    try:
        from src.services.recommendation_service import get_recommendations
        if not service_registry.service_exists("recommendation_system"):
            service_registry.register_service(
                name="recommendation_system",
                service_func=get_recommendations,
                description="智能推荐系统，根据用户偏好和行为提供个性化推荐",
                parameters={"user_id": "用户ID", "item_type": "项目类型", "count": "推荐数量"},
                keywords=["推荐", "个性化", "智能", "用户偏好", "协同过滤"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("推荐系统服务不可用")
    
    # 注册数据分析服务
    try:
        from src.services.data_analysis_service import analyze_data
        if not service_registry.service_exists("data_analysis"):
            service_registry.register_service(
                name="data_analysis",
                service_func=analyze_data,
                description="数据分析服务，提供数据清洗、统计分析和可视化功能",
                parameters={"data": "数据集", "analysis_type": "分析类型", "options": "分析选项"},
                keywords=["数据分析", "统计", "可视化", "数据清洗", "洞察"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据分析服务不可用")
    
    # 注册模型训练服务
    try:
        from src.services.model_training_service import train_model
        if not service_registry.service_exists("model_training"):
            service_registry.register_service(
                name="model_training",
                service_func=train_model,
                description="机器学习模型训练服务，支持多种算法和框架",
                parameters={"data": "训练数据", "algorithm": "算法类型", "parameters": "模型参数"},
                keywords=["机器学习", "模型训练", "算法", "AI", "深度学习"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("模型训练服务不可用")
    
    # 注册预测服务
    try:
        from src.services.prediction_service import make_prediction
        if not service_registry.service_exists("prediction_service"):
            service_registry.register_service(
                name="prediction_service",
                service_func=make_prediction,
                description="预测服务，基于训练模型进行预测和推断",
                parameters={"model_id": "模型ID", "input_data": "输入数据", "prediction_type": "预测类型"},
                keywords=["预测", "推断", "模型", "AI", "机器学习"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("预测服务不可用")
    
    # 注册自动化工作流服务
    try:
        from src.services.automation_service import execute_workflow
        if not service_registry.service_exists("automation_service"):
            service_registry.register_service(
                name="automation_service",
                service_func=execute_workflow,
                description="自动化工作流服务，执行预定义的自动化任务",
                parameters={"workflow_id": "工作流ID", "parameters": "执行参数", "schedule": "调度信息"},
                keywords=["自动化", "工作流", "任务", "调度", "执行"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("自动化工作流服务不可用")
    
    # 注册通知服务
    try:
        from src.services.notification_service import send_notification
        if not service_registry.service_exists("notification_service"):
            service_registry.register_service(
                name="notification_service",
                service_func=send_notification,
                description="通知服务，支持多种渠道的消息发送",
                parameters={"recipient": "接收者", "message": "消息内容", "channel": "通知渠道"},
                keywords=["通知", "消息", "推送", "邮件", "短信"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("通知服务不可用")
    
    # 注册日志服务
    try:
        from src.services.logging_service import log_event
        if not service_registry.service_exists("logging_service"):
            service_registry.register_service(
                name="logging_service",
                service_func=log_event,
                description="日志服务，记录系统事件和用户行为",
                parameters={"event": "事件信息", "level": "日志级别", "metadata": "元数据"},
                keywords=["日志", "事件", "监控", "审计", "追踪"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("日志服务不可用")
    
    # 注册安全服务
    try:
        from src.services.security_service import check_security
        if not service_registry.service_exists("security_service"):
            service_registry.register_service(
                name="security_service",
                service_func=check_security,
                description="安全服务，提供安全检查和风险评估功能",
                parameters={"target": "检查目标", "check_type": "检查类型", "options": "检查选项"},
                keywords=["安全", "风险", "检查", "防护", "审计"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("安全服务不可用")
    
    # 注册性能监控服务
    try:
        from src.services.monitoring_service import monitor_performance
        if not service_registry.service_exists("monitoring_service"):
            service_registry.register_service(
                name="monitoring_service",
                service_func=monitor_performance,
                description="性能监控服务，监控系统性能和资源使用情况",
                parameters={"metrics": "监控指标", "interval": "监控间隔", "thresholds": "阈值设置"},
                keywords=["监控", "性能", "资源", "指标", "健康检查"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("性能监控服务不可用")
    
    # 注册API网关服务
    try:
        from src.services.api_gateway_service import route_request
        if not service_registry.service_exists("api_gateway"):
            service_registry.register_service(
                name="api_gateway",
                service_func=route_request,
                description="API网关服务，统一处理和路由外部请求",
                parameters={"request": "请求对象", "route": "路由信息", "auth": "认证信息"},
                keywords=["API", "网关", "路由", "请求", "接口"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("API网关服务不可用")
    
    # 注册缓存服务
    try:
        from src.services.caching_service import cache_data
        if not service_registry.service_exists("caching_service"):
            service_registry.register_service(
                name="caching_service",
                service_func=cache_data,
                description="缓存服务，提供数据缓存和检索功能",
                parameters={"key": "缓存键", "value": "缓存值", "ttl": "过期时间"},
                keywords=["缓存", "存储", "检索", "性能", "内存"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("缓存服务不可用")
    
    # 注册任务调度服务
    try:
        from src.services.task_scheduling_service import schedule_task
        if not service_registry.service_exists("task_scheduling"):
            service_registry.register_service(
                name="task_scheduling",
                service_func=schedule_task,
                description="任务调度服务，管理和执行定时任务",
                parameters={"task": "任务定义", "schedule": "调度计划", "options": "调度选项"},
                keywords=["任务", "调度", "定时", "计划", "执行"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("任务调度服务不可用")
    
    # 注册数据库服务
    try:
        from src.services.database_service import query_database
        if not service_registry.service_exists("database_service"):
            service_registry.register_service(
                name="database_service",
                service_func=query_database,
                description="数据库服务，提供数据查询和管理功能",
                parameters={"query": "查询语句", "database": "数据库名称", "parameters": "查询参数"},
                keywords=["数据库", "查询", "SQL", "数据", "管理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据库服务不可用")
    
    # 注册搜索引擎服务
    try:
        from src.services.search_service import search_content
        if not service_registry.service_exists("search_service"):
            service_registry.register_service(
                name="search_service",
                service_func=search_content,
                description="搜索引擎服务，提供全文搜索和内容检索功能",
                parameters={"query": "搜索查询", "index": "索引名称", "filters": "过滤条件"},
                keywords=["搜索", "检索", "全文", "索引", "查询"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("搜索引擎服务不可用")
    
    # 注册报告生成服务
    try:
        from src.services.reporting_service import generate_report
        if not service_registry.service_exists("reporting_service"):
            service_registry.register_service(
                name="reporting_service",
                service_func=generate_report,
                description="报告生成服务，自动生成各种类型的报告",
                parameters={"data": "报告数据", "template": "报告模板", "format": "报告格式"},
                keywords=["报告", "生成", "文档", "分析", "输出"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("报告生成服务不可用")
    
    # 注册测试服务
    try:
        from src.services.testing_service import run_tests
        if not service_registry.service_exists("testing_service"):
            service_registry.register_service(
                name="testing_service",
                service_func=run_tests,
                description="测试服务，执行自动化测试和验证",
                parameters={"test_suite": "测试套件", "options": "测试选项", "environment": "测试环境"},
                keywords=["测试", "验证", "自动化", "质量", "检查"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("测试服务不可用")
    
    # 注册配置管理服务
    try:
        from src.services.configuration_service import manage_config
        if not service_registry.service_exists("configuration_service"):
            service_registry.register_service(
                name="configuration_service",
                service_func=manage_config,
                description="配置管理服务，管理应用配置和设置",
                parameters={"action": "操作类型", "config_key": "配置键", "config_value": "配置值"},
                keywords=["配置", "设置", "管理", "参数", "环境"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("配置管理服务不可用")
    
    # 注册备份服务
    try:
        from src.services.backup_service import backup_data
        if not service_registry.service_exists("backup_service"):
            service_registry.register_service(
                name="backup_service",
                service_func=backup_data,
                description="数据备份服务，定期备份重要数据",
                parameters={"source": "数据源", "destination": "备份目标", "schedule": "备份计划"},
                keywords=["备份", "数据", "恢复", "保护", "存储"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据备份服务不可用")
    
    # 注册恢复服务
    try:
        from src.services.recovery_service import recover_data
        if not service_registry.service_exists("recovery_service"):
            service_registry.register_service(
                name="recovery_service",
                service_func=recover_data,
                description="数据恢复服务，从备份中恢复数据",
                parameters={"backup_id": "备份ID", "destination": "恢复目标", "options": "恢复选项"},
                keywords=["恢复", "数据", "备份", "还原", "保护"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据恢复服务不可用")
    
    # 注册升级服务
    try:
        from src.services.upgrade_service import upgrade_system
        if not service_registry.service_exists("upgrade_service"):
            service_registry.register_service(
                name="upgrade_service",
                service_func=upgrade_system,
                description="系统升级服务，执行系统更新和升级",
                parameters={"version": "目标版本", "options": "升级选项", "backup": "是否备份"},
                keywords=["升级", "更新", "系统", "版本", "维护"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("系统升级服务不可用")
    
    # 注册诊断服务
    try:
        from src.services.diagnostic_service import diagnose_system
        if not service_registry.service_exists("diagnostic_service"):
            service_registry.register_service(
                name="diagnostic_service",
                service_func=diagnose_system,
                description="系统诊断服务，检查系统健康和问题",
                parameters={"checks": "检查项", "options": "诊断选项", "report": "报告选项"},
                keywords=["诊断", "健康", "检查", "问题", "分析"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("系统诊断服务不可用")
    
    # 注册优化服务
    try:
        from src.services.optimization_service import optimize_performance
        if not service_registry.service_exists("optimization_service"):
            service_registry.register_service(
                name="optimization_service",
                service_func=optimize_performance,
                description="性能优化服务，优化系统性能和资源使用",
                parameters={"target": "优化目标", "strategy": "优化策略", "options": "优化选项"},
                keywords=["优化", "性能", "资源", "效率", "调优"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("性能优化服务不可用")
    
    # 注册清理服务
    try:
        from src.services.cleanup_service import cleanup_resources
        if not service_registry.service_exists("cleanup_service"):
            service_registry.register_service(
                name="cleanup_service",
                service_func=cleanup_resources,
                description="资源清理服务，清理临时文件和无用资源",
                parameters={"targets": "清理目标", "options": "清理选项", "schedule": "清理计划"},
                keywords=["清理", "资源", "临时", "维护", "存储"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("资源清理服务不可用")
    
    # 注册归档服务
    try:
        from src.services.archiving_service import archive_data
        if not service_registry.service_exists("archiving_service"):
            service_registry.register_service(
                name="archiving_service",
                service_func=archive_data,
                description="数据归档服务，将历史数据归档存储",
                parameters={"data": "归档数据", "destination": "归档目标", "options": "归档选项"},
                keywords=["归档", "数据", "历史", "存储", "管理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据归档服务不可用")
    
    # 注册同步服务
    try:
        from src.services.sync_service import sync_data
        if not service_registry.service_exists("sync_service"):
            service_registry.register_service(
                name="sync_service",
                service_func=sync_data,
                description="数据同步服务，同步不同系统间的数据",
                parameters={"source": "数据源", "target": "目标系统", "options": "同步选项"},
                keywords=["同步", "数据", "复制", "一致性", "集成"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据同步服务不可用")
    
    # 注册验证服务
    try:
        from src.services.validation_service import validate_data
        if not service_registry.service_exists("validation_service"):
            service_registry.register_service(
                name="validation_service",
                service_func=validate_data,
                description="数据验证服务，验证数据的完整性和正确性",
                parameters={"data": "验证数据", "rules": "验证规则", "options": "验证选项"},
                keywords=["验证", "数据", "检查", "完整性", "正确性"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据验证服务不可用")
    
    # 注册转换服务
    try:
        from src.services.transformation_service import transform_data
        if not service_registry.service_exists("transformation_service"):
            service_registry.register_service(
                name="transformation_service",
                service_func=transform_data,
                description="数据转换服务，转换数据格式和结构",
                parameters={"data": "源数据", "transformation": "转换规则", "options": "转换选项"},
                keywords=["转换", "数据", "格式", "结构", "处理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据转换服务不可用")
    
    # 注册加密服务
    try:
        from src.services.encryption_service import encrypt_data
        if not service_registry.service_exists("encryption_service"):
            service_registry.register_service(
                name="encryption_service",
                service_func=encrypt_data,
                description="数据加密服务，保护敏感数据安全",
                parameters={"data": "待加密数据", "algorithm": "加密算法", "key": "加密密钥"},
                keywords=["加密", "安全", "数据", "保护", "隐私"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据加密服务不可用")
    
    # 注册解密服务
    try:
        from src.services.decryption_service import decrypt_data
        if not service_registry.service_exists("decryption_service"):
            service_registry.register_service(
                name="decryption_service",
                service_func=decrypt_data,
                description="数据解密服务，解密加密的数据",
                parameters={"data": "待解密数据", "algorithm": "解密算法", "key": "解密密钥"},
                keywords=["解密", "安全", "数据", "保护", "隐私"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据解密服务不可用")
    
    # 注册压缩服务
    try:
        from src.services.compression_service import compress_data
        if not service_registry.service_exists("compression_service"):
            service_registry.register_service(
                name="compression_service",
                service_func=compress_data,
                description="数据压缩服务，减小数据存储空间",
                parameters={"data": "源数据", "algorithm": "压缩算法", "options": "压缩选项"},
                keywords=["压缩", "数据", "存储", "空间", "效率"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据压缩服务不可用")
    
    # 注册解压缩服务
    try:
        from src.services.decompression_service import decompress_data
        if not service_registry.service_exists("decompression_service"):
            service_registry.register_service(
                name="decompression_service",
                service_func=decompress_data,
                description="数据解压缩服务，还原压缩的数据",
                parameters={"data": "压缩数据", "algorithm": "解压算法", "options": "解压选项"},
                keywords=["解压", "数据", "存储", "空间", "效率"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据解压缩服务不可用")
    
    # 注册编码服务
    try:
        from src.services.encoding_service import encode_data
        if not service_registry.service_exists("encoding_service"):
            service_registry.register_service(
                name="encoding_service",
                service_func=encode_data,
                description="数据编码服务，将数据编码为特定格式",
                parameters={"data": "源数据", "encoding": "编码格式", "options": "编码选项"},
                keywords=["编码", "数据", "格式", "转换", "处理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据编码服务不可用")
    
    # 注册解码服务
    try:
        from src.services.decoding_service import decode_data
        if not service_registry.service_exists("decoding_service"):
            service_registry.register_service(
                name="decoding_service",
                service_func=decode_data,
                description="数据解码服务，将编码数据还原为原始格式",
                parameters={"data": "编码数据", "encoding": "解码格式", "options": "解码选项"},
                keywords=["解码", "数据", "格式", "转换", "处理"],
                version="1.0.0"
            )
    except ImportError:
        logger.warning("数据解码服务不可用")
    
    # 注册服务依赖关系
    try:
        # 设置服务依赖关系
        service_registry.add_service_dependency("research_assistant", "knowledge_graph")
        service_registry.add_service_dependency("research_assistant", "nlp_service")
        service_registry.add_service_dependency("ticket_system", "user_management")
        service_registry.add_service_dependency("group_management", "user_management")
        service_registry.add_service_dependency("recommendation_system", "user_management")
        service_registry.add_service_dependency("data_analysis", "database_service")
        service_registry.add_service_dependency("model_training", "data_analysis")
        service_registry.add_service_dependency("prediction_service", "model_training")
        service_registry.add_service_dependency("reporting_service", "data_analysis")
        service_registry.add_service_dependency("logging_service", "database_service")
        service_registry.add_service_dependency("monitoring_service", "logging_service")
        service_registry.add_service_dependency("security_service", "logging_service")
        service_registry.add_service_dependency("api_gateway", "user_management")
        service_registry.add_service_dependency("notification_service", "user_management")
        service_registry.add_service_dependency("caching_service", "database_service")
        service_registry.add_service_dependency("search_service", "database_service")
        service_registry.add_service_dependency("task_scheduling", "logging_service")
        service_registry.add_service_dependency("backup_service", "database_service")
        service_registry.add_service_dependency("recovery_service", "backup_service")
        service_registry.add_service_dependency("upgrade_service", "configuration_service")
        service_registry.add_service_dependency("diagnostic_service", "monitoring_service")
        service_registry.add_service_dependency("optimization_service", "monitoring_service")
        service_registry.add_service_dependency("cleanup_service", "logging_service")
        service_registry.add_service_dependency("archiving_service", "database_service")
        service_registry.add_service_dependency("sync_service", "database_service")
        service_registry.add_service_dependency("validation_service", "database_service")
        service_registry.add_service_dependency("transformation_service", "data_analysis")
        service_registry.add_service_dependency("encryption_service", "security_service")
        service_registry.add_service_dependency("decryption_service", "security_service")
        service_registry.add_service_dependency("compression_service", "file_processing")
        service_registry.add_service_dependency("decompression_service", "file_processing")
        service_registry.add_service_dependency("encoding_service", "file_processing")
        service_registry.add_service_dependency("decoding_service", "file_processing")
        
        # 注册备用服务
        service_registry.register_fallback_services("research_assistant", ["knowledge_graph", "nlp_service"])
        service_registry.register_fallback_services("user_management", ["database_service"])
        service_registry.register_fallback_services("ticket_system", ["user_management"])
        service_registry.register_fallback_services("group_management", ["user_management"])
        service_registry.register_fallback_services("knowledge_graph", ["database_service"])
        service_registry.register_fallback_services("nlp_service", ["text_processing"])
        service_registry.register_fallback_services("file_processing", ["image_processing", "voice_processing"])
        service_registry.register_fallback_services("image_processing", ["file_processing"])
        service_registry.register_fallback_services("voice_processing", ["file_processing"])
        service_registry.register_fallback_services("recommendation_system", ["user_management", "data_analysis"])
        service_registry.register_fallback_services("data_analysis", ["database_service"])
        service_registry.register_fallback_services("model_training", ["data_analysis"])
        service_registry.register_fallback_services("prediction_service", ["model_training"])
        service_registry.register_fallback_services("reporting_service", ["data_analysis"])
        service_registry.register_fallback_services("logging_service", ["database_service"])
        service_registry.register_fallback_services("monitoring_service", ["logging_service"])
        service_registry.register_fallback_services("security_service", ["logging_service"])
        service_registry.register_fallback_services("api_gateway", ["user_management"])
        service_registry.register_fallback_services("notification_service", ["user_management"])
        service_registry.register_fallback_services("caching_service", ["database_service"])
        service_registry.register_fallback_services("search_service", ["database_service"])
        service_registry.register_fallback_services("task_scheduling", ["logging_service"])
        service_registry.register_fallback_services("backup_service", ["database_service"])
        service_registry.register_fallback_services("recovery_service", ["backup_service"])
        service_registry.register_fallback_services("upgrade_service", ["configuration_service"])
        service_registry.register_fallback_services("diagnostic_service", ["monitoring_service"])
        service_registry.register_fallback_services("optimization_service", ["monitoring_service"])
        service_registry.register_fallback_services("cleanup_service", ["logging_service"])
        service_registry.register_fallback_services("archiving_service", ["database_service"])
        service_registry.register_fallback_services("sync_service", ["database_service"])
        service_registry.register_fallback_services("validation_service", ["database_service"])
        service_registry.register_fallback_services("transformation_service", ["data_analysis"])
        service_registry.register_fallback_services("encryption_service", ["security_service"])
        service_registry.register_fallback_services("decryption_service", ["security_service"])
        service_registry.register_fallback_services("compression_service", ["file_processing"])
        service_registry.register_fallback_services("decompression_service", ["file_processing"])
        service_registry.register_fallback_services("encoding_service", ["file_processing"])
        service_registry.register_fallback_services("decoding_service", ["file_processing"])
        
        # 注册相似服务
        service_registry.register_similar_services("research_assistant", ["knowledge_graph", "nlp_service"])
        service_registry.register_similar_services("knowledge_graph", ["research_assistant", "nlp_service"])
        service_registry.register_similar_services("nlp_service", ["research_assistant", "knowledge_graph"])
        service_registry.register_similar_services("file_processing", ["image_processing", "voice_processing"])
        service_registry.register_similar_services("image_processing", ["file_processing", "voice_processing"])
        service_registry.register_similar_services("voice_processing", ["file_processing", "image_processing"])
        service_registry.register_similar_services("data_analysis", ["model_training", "prediction_service"])
        service_registry.register_similar_services("model_training", ["data_analysis", "prediction_service"])
        service_registry.register_similar_services("prediction_service", ["data_analysis", "model_training"])
        service_registry.register_similar_services("logging_service", ["monitoring_service", "diagnostic_service"])
        service_registry.register_similar_services("monitoring_service", ["logging_service", "diagnostic_service"])
        service_registry.register_similar_services("diagnostic_service", ["logging_service", "monitoring_service"])
        
        # 注册降级服务
        service_registry.register_degraded_services("research_assistant", ["nlp_service", "knowledge_graph"])
        service_registry.register_degraded_services("user_management", ["database_service"])
        service_registry.register_degraded_services("ticket_system", ["user_management"])
        service_registry.register_degraded_services("group_management", ["user_management"])
        service_registry.register_degraded_services("knowledge_graph", ["nlp_service"])
        service_registry.register_degraded_services("nlp_service", ["text_processing"])
        service_registry.register_degraded_services("file_processing", ["database_service"])
        service_registry.register_degraded_services("image_processing", ["file_processing"])
        service_registry.register_degraded_services("voice_processing", ["file_processing"])
        service_registry.register_degraded_services("recommendation_system", ["user_management"])
        service_registry.register_degraded_services("data_analysis", ["database_service"])
        service_registry.register_degraded_services("model_training", ["data_analysis"])
        service_registry.register_degraded_services("prediction_service", ["data_analysis"])
        service_registry.register_degraded_services("reporting_service", ["data_analysis"])
        service_registry.register_degraded_services("logging_service", ["database_service"])
        service_registry.register_degraded_services("monitoring_service", ["logging_service"])
        service_registry.register_degraded_services("security_service", ["logging_service"])
        service_registry.register_degraded_services("api_gateway", ["user_management"])
        service_registry.register_degraded_services("notification_service", ["user_management"])
        service_registry.register_degraded_services("caching_service", ["database_service"])
        service_registry.register_degraded_services("search_service", ["database_service"])
        service_registry.register_degraded_services("task_scheduling", ["logging_service"])
        service_registry.register_degraded_services("backup_service", ["database_service"])
        service_registry.register_degraded_services("recovery_service", ["database_service"])
        service_registry.register_degraded_services("upgrade_service", ["configuration_service"])
        service_registry.register_degraded_services("diagnostic_service", ["logging_service"])
        service_registry.register_degraded_services("optimization_service", ["logging_service"])
        service_registry.register_degraded_services("cleanup_service", ["logging_service"])
        service_registry.register_degraded_services("archiving_service", ["database_service"])
        service_registry.register_degraded_services("sync_service", ["database_service"])
        service_registry.register_degraded_services("validation_service", ["database_service"])
        service_registry.register_degraded_services("transformation_service", ["data_analysis"])
        service_registry.register_degraded_services("encryption_service", ["security_service"])
        service_registry.register_degraded_services("decryption_service", ["security_service"])
        service_registry.register_degraded_services("compression_service", ["file_processing"])
        service_registry.register_degraded_services("decompression_service", ["file_processing"])
        service_registry.register_degraded_services("encoding_service", ["file_processing"])
        service_registry.register_degraded_services("decoding_service", ["file_processing"])
        
        logger.info("服务依赖关系和故障转移配置注册完成")
    except Exception as e:
        logger.error(f"注册服务依赖关系时出错: {str(e)}")
    
    logger.info("所有服务注册完成")
